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Top Data Engineer Jobs in Indianapolis, IN
The Principal Data Engineer will architect and implement scalable data solutions, lead the data engineering team, optimize data performance, and ensure data governance and security compliance. The role involves collaboration with product managers and technical mentorship to enhance the data ecosystem of the organization.
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.
The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.
As a 2nd VP and Actuary, you'll direct interest rate and liquidity risk management, optimize ALM and capital analytics strategies, and drive economic capital planning while collaborating with various teams. This role focuses on strategic financial decision-making with a heavy emphasis on risk management and financial modeling within the organization.
The Database Administrator at Instructure will manage database systems, ensuring data safety and availability while automating solutions to prevent issues. Responsibilities include driving projects to completion, working with SQL in production, responding to database problems, and providing support to both technical and non-technical staff.
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The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
The Data Science Consultant will design new solutions using Databricks to meet business functional requirements, modify existing data models, define and verify test cases, build data models and reports, and coordinate with stakeholders to convert business needs into technical specifications.
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